Automation and Observability Engineer

I build systems that reduce manual work, improve operational clarity, and make infrastructure easier to reason about.

My strongest areas are Python, Salt, Splunk, AWS, and Terraform. I am especially interested in automation design, observability platforms, infrastructure workflows, and the growing role of agentic AI in engineering work.

• Python-first tooling and workflow automation
• Configuration management and orchestration design
• Reusable infrastructure patterns and internal engineering utilities

• Logging and monitoring platforms
• Dashboard design and operational visibility
• Capacity-minded thinking and systems analysis

• AWS-based infrastructure work
• Terraform modules and environment composition
• Linux systems and service-oriented engineering

• Agentic workflows
• Prompt and context management
• Practical use of AI to accelerate technical work

• Building cleaner automation patterns for infrastructure and platform operations
• Deepening expertise in observability and platform engineering
• Exploring AI-assisted workflows for engineering and personal tooling
• Creating projects that combine useful systems design with clear interfaces

Infrastructure-oriented work combining Terraform, AWS, and automation patterns.

Reusable infrastructure composition with a focus on modularity and maintainability.

A Python-based Discord bot project built around modular design, external services, and structured logging.

An interactive web project reflecting my interest in expressive front-end design and personal software.

• I prefer building systems that are understandable, maintainable, and automatable
• I like difficult technical problems when there is room to reason clearly and iterate
• I treat AI as a practical engineering tool, not a replacement for judgment

• LinkedIn: kennedymosoti
• GitHub: @kmosoti